TTS_fs2/fast_speech2_ming024/text/cmudict.py

""" from https://github.com/keithito/tacotron """

import re


valid_symbols = [
    "AA",
    "AA0",
    "AA1",
    "AA2",
    "AE",
    "AE0",
    "AE1",
    "AE2",
    "AH",
    "AH0",
    "AH1",
    "AH2",
    "AO",
    "AO0",
    "AO1",
    "AO2",
    "AW",
    "AW0",
    "AW1",
    "AW2",
    "AY",
    "AY0",
    "AY1",
    "AY2",
    "B",
    "CH",
    "D",
    "DH",
    "EH",
    "EH0",
    "EH1",
    "EH2",
    "ER",
    "ER0",
    "ER1",
    "ER2",
    "EY",
    "EY0",
    "EY1",
    "EY2",
    "F",
    "G",
    "HH",
    "IH",
    "IH0",
    "IH1",
    "IH2",
    "IY",
    "IY0",
    "IY1",
    "IY2",
    "JH",
    "K",
    "L",
    "M",
    "N",
    "NG",
    "OW",
    "OW0",
    "OW1",
    "OW2",
    "OY",
    "OY0",
    "OY1",
    "OY2",
    "P",
    "R",
    "S",
    "SH",
    "T",
    "TH",
    "UH",
    "UH0",
    "UH1",
    "UH2",
    "UW",
    "UW0",
    "UW1",
    "UW2",
    "V",
    "W",
    "Y",
    "Z",
    "ZH",
]

_valid_symbol_set = set(valid_symbols)


class CMUDict:
    """Thin wrapper around CMUDict data. http://www.speech.cs.cmu.edu/cgi-bin/cmudict"""

    def __init__(self, file_or_path, keep_ambiguous=True):
        if isinstance(file_or_path, str):
            with open(file_or_path, encoding="latin-1") as f:
                entries = _parse_cmudict(f)
        else:
            entries = _parse_cmudict(file_or_path)
        if not keep_ambiguous:
            entries = {word: pron for word, pron in entries.items() if len(pron) == 1}
        self._entries = entries

    def __len__(self):
        return len(self._entries)

    def lookup(self, word):
        """Returns list of ARPAbet pronunciations of the given word."""
        return self._entries.get(word.upper())


_alt_re = re.compile(r"\([0-9]+\)")


def _parse_cmudict(file):
    cmudict = {}
    for line in file:
        if len(line) and (line[0] >= "A" and line[0] <= "Z" or line[0] == "'"):
            parts = line.split("  ")
            word = re.sub(_alt_re, "", parts[0])
            pronunciation = _get_pronunciation(parts[1])
            if pronunciation:
                if word in cmudict:
                    cmudict[word].append(pronunciation)
                else:
                    cmudict[word] = [pronunciation]
    return cmudict


def _get_pronunciation(s):
    parts = s.strip().split(" ")
    for part in parts:
        if part not in _valid_symbol_set:
            return None
    return " ".join(parts)